GS-LinYOLOv10: A drone-based model for real-time construction site safety monitoring
Real-time safety monitoring on construction sites is essential for ensuring worker safety, but traditional detection methods face challenges in dynamic environments with moving objects, occlusions, and complex conditions. To address these limitations, we propose GS-LinYOLOv10, an improved model base...
Saved in:
| Main Authors: | Yang Song, ZhenLin Chen, Hua Yang, Jifei Liao |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-05-01
|
| Series: | Alexandria Engineering Journal |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S1110016825000304 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
YOLOv9-AAG: Distinguishing Birds and Drones in Infrared and Visible Light Scenarios
by: Peichun Suo, et al.
Published: (2025-01-01) -
Drone Injuries and Safety Recommendations
by: Serap Gorucu, et al.
Published: (2021-08-01) -
Application of artificial intelligence models to solve the problem of losing control over a drone
by: А. Akhaladze, et al.
Published: (2023-12-01) -
A Generic Approach for Safety Assessment of Medium-Risk Drones
by: Pierre Bieber, et al.
Published: (2025-03-01) -
Secure session key pairing and a lightweight key authentication scheme for liable drone services
by: Rajkumar .S.C, et al.
Published: (2023-12-01)